// Copyright (c) 2023 Huawei Technologies Co., Ltd
// Copyright (c) 2019, Facebook CORPORATION.
// All rights reserved.
//
// Licensed under the BSD 3-Clause License  (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// https://opensource.org/licenses/BSD-3-Clause
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.

#include "op_plugin/AclOpsInterface.h"
#include "op_plugin/OpApiInterface.h"
#include "op_plugin/utils/op_api_common.h"

namespace op_api {
using npu_preparation = at_npu::native::OpPreparation;

at::Tensor embedding_symint(const at::Tensor& weight, const at::Tensor& indices, c10::SymInt padding_idx,
                            bool scale_grad_by_freq, bool sparse) {
  DO_COMPATIBILITY(aclnnEmbedding, acl_op::embedding_symint(weight, indices, padding_idx, scale_grad_by_freq, sparse));
  // calculate the output size
  auto output_size = op_infer::array_to_small_vector(indices.sizes());
  output_size.emplace_back(weight.size(weight.dim() - 1));
  // construct the output tensor of the NPU
  at::Tensor result = npu_preparation::apply_tensor_without_format(output_size, weight.options());
  // calculate the output resugt of the NPU
  EXEC_NPU_CMD(aclnnEmbedding, weight, indices, result);
  return result;
}
} // namespace op_api

